Informatics Publishing Limited

Jung-Sub Ahn ¹, Tae-Ho Cho ²

Affiliations
1 College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, KP
2 College of Software Platform, Sungkyunkwan University, Suwon 16419, KP

Abstract

Wireless sensor networks collect data through collaborative communication between sensor nodes. sensor nodes of wireless sensor networks are deployed in open environments. Hence, an attacker can easily compromise the node. An attacker can compromise a node to generate false reports and inject into the network. This causes unnecessary energy consumption in the process of transmitting false alarm messages and false data reports to the system. If the attacker keeps repeatedly attacking thereby causing problems such as reduction in the entire network life or disabling the networks. Yu and Guan proposed a dynamic en-route filtering scheme to detect and drop these false reports before reaching to the Base station. In the dynamic en-route filtering, the energy waste of the intermediate nodes occurs until it is detected early. In this paper, we propose a method to save the energy of the intermediate nodes by searching for the compromised node and blocking the reports generated at that node. When verifying a false report at the verification node, it can know report information. The base station is able to find the cluster of compromised nodes using that information. In particular, the base station can know the location of the node that has been compromised, we can block false alarms and energy losses by blocking reports generated in that cluster.

Keywords

Network Simulation, Wireless Sensor Network, Dynamic En-Route Filtering, False Report Injection Attack.

Full Text

   

Sang-Hyeok Lim ¹, Tae-Ho Cho ²

Affiliations
1 College of Information and Communication Engineering, Sungkyunkwan University, Suwon 16419, KP
2 College of Software Platform, Sungkyunkwan University, Suwon 16419, KP

Abstract

A wireless sensor network (WSN) consists of multiple sensor nodes and base stations that collect information from widely deployed sensors. However, the disadvantage is that WSNs are randomly distributed in an open environment, which makes them difficult to manage individually and more easily found and compromised by an attacker. An attacker can execute a false report insertion or invalid vote insertion attack through a compromised node. The Probabilistic Voting Filtering System (PVFS) is a system that prevents these two types of attacks. Before sending a report, the proposed method probabilistically selects a validation node, determines the validity of the report, and filters the report based on the thresholds that have been set. In this paper, the proposed scheme improves the lifetime, detection rate, and report delivery rate of the entire network by increasing the lifetime of the cluster head (CH) by selecting the numbers of message authentication codes (MACs) and verification nodes of the report. Using this system, the event detection rate and the network lifetime are improved by up to 18% and 6%, respectively, relative to the existing PVFS.

Keywords

Wireless Sensor Networks, False Report Injection Attack, False Vote Injection Attack, Secure Routing, Fuzzy System, Genetic Algorithm, Interactive Authentication.

Full Text

   

Ga-Hyeon An ¹, Tae-Ho Cho ²

Affiliations
1 Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, KR
2 Department of Computer Science and Engineering, Sungkyunkwan University, Suwon, KR

Abstract

Wireless Sensor Network (WSN), there are low capacity, low cost, tiny sensor nodes, and sinks. Sensor nodes detect an event occurring in its surroundings and send data about the event to the sink. Sensor nodes have a limited transmission range and computational power. Since the wireless sensor network operates with limited resources than the ad hoc network, it is difficult to apply the defense method as it is, so research on a new defense method is needed. In a WSN, sensor nodes manage, monitor, and collect data for a specific environmental and physical application, and the collected data is transmitted to and used by a base station. Base stations are connected via the Internet and share data with users. Since the sensor node is composed of low power and low capacity, it is mainly used in an unattended environment, so it is easily exposed to various attacks and can be damaged. This type of network makes it difficult to detect wormhole attacks when they occur along with other attacks like false report injection attacks and Sybil attacks. Therefore, to prevent this, in this study, the hop count and the encrypted node ID are added in the report generation process of the statistical en-route filtering technique to detect wormhole attacks even when a wormhole attack occurs along with a false report injection attack to improve security.

Keywords

Wormhole Attack, Statistical En-Route Filtering, Wireless Sensor Network, Hop Counts, Encrypted Node IDs.

Full Text